Create main.py

main.py

@@ -0,0 +1,44 @@
+from flask import Flask, request, jsonify, render_template
+from flask_cors import CORS
+import numpy as np
+import pandas as pd
+from sklearn.linear_model import LogisticRegression
+
+app = Flask(__name__)
+app.static_folder = 'static'
+app.static_url_path = '/static'
+
+app.secret_key = "flask-nielit-2023"
+
+CORS(app)
+
+@app.route('/')
+def iris():
+  return render_template("index.html")
+
+@app.route('/irisf', methods=["POST"])
+def page():
+  swidth=eval(request.form.get("swidth"))
+  sheight=eval(request.form.get("sheight"))
+  pwidth=eval(request.form.get("pwidth"))
+  pheight=eval(request.form.get("pheight"))
+  
+  url="https://raw.githubusercontent.com/lovnishverma/datasets/main/iris.csv"
+  
+  data=pd.read_csv(url, header=None)
+  flower=data.values
+  
+  #Split
+  x=flower[:,:4]
+  y=flower[:,-1]
+  
+  model=LogisticRegression()
+  model.fit(x,y)
+  
+  arr=model.predict([[swidth,sheight,pwidth,pheight]])
+
+  return render_template("index.html", data=str(arr[0]))
+
+
+if __name__ == '__main__':
+    app.run()